Member of Technical Staff Software Engineering

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps Flexera provides award-winning data-oriented SaaS solutions for technology value optimization (TVO) enabling IT finance procurement and cloud teams to gain deep insights into cost optimization compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer supplier and industry data powered by our Technology Intelligence Platform that enables organizations to visualize their Enterprise Technology Blueprint in hybrid environmentsfrom on-premises to SaaS to containers to cloud.

Were transforming the software industry. Were Flexera. Withmore than 50000 customersacross the world were achievingthat goal.Butwe knowwe cant do any of that without our team.Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans Come and see whywere consistently recognized by Gartner Forrester and IDCas a category leader in the marketplace.Learn more at

Job Title: Member of Technical Staff

Experience: 6 years

Role Overview

As a Member of Technical Staff you will architect and develop scalable high-performance systems that handle substantial data throughput. This role demands expertise in cloud platforms data engineering and automation with a strong focus on designing robust architectures and pipelines for large-scale data processing.

Key Responsibilities

• Architecture & Design: Define and implement system architecture for distributed data-intensive applications ensuring scalability reliability and security.
• Data Engineering: Build and optimize pipelines using Databricks and PySpark for large datasets and high-volume data processing.
• Cloud Solutions: Architect and manage AWS-based solutions for compute storage and analytics.
• Automation & CI/CD: Develop and maintain automated workflows using YAML for deployment and testing.
• Machine Learning Integration: Design and deploy ML models into production pipelines for real-time and batch processing.
• Performance Optimization: Ensure systems can handle substantial data throughput with minimal latency.
• Collaboration: Work closely with cross-functional teams to deliver end-to-end solutions.

Required Skills & Qualifications

• Technical Expertise:
  • AWS cloud services
  • Databricks with PySpark for large-scale data pipelines
  • Experience with data lakehouse architectures for unified analytics and storage
  • YAML for automation
• Data & ML: Strong experience with big data processing and machine learning workflows.
• Experience: Minimum 6 years in software development or data engineering roles.
• Soft Skills: Excellent problem-solving communication and proven ability to guide and support team members through technical challenges.

Preferred Skills & Qualifications

• AWS Certifications (e.g. AWS Certified Solutions Architect AWS Certified Data Analytics).
• .NET for enterprise application development.
• GitHub Actions for advanced CI/CD automation.
• Experience designing and managing large-scale relational and NoSQL databases ensuring high availability and optimized performance for enterprise-grade workloads.